Author: Tapiwa Ganyani; Cecile Kremer; Dongxuan Chen; Andrea Torneri; Christel Faes; Jacco Wallinga; Niel Hens
Title: Estimating the generation interval for COVID-19 based on symptom onset data Document date: 2020_3_8
ID: cq6mivr9_29
Snippet: Minimally informative uniform priors are assigned to the parameters of the generation interval distribution, i.e., α 1 ∼ U (0, 30) and β 1 ∼ U (0, 20). For cases with multiple potential infectors, the possible links v(i) missing are assigned equal prior probabilities. The missing links are updated using an independence sampler, whereas Θ 1 is updated using a random-walk Metropolis-Hastings algorithm with a uniform proposal distribution [12.....
Document: Minimally informative uniform priors are assigned to the parameters of the generation interval distribution, i.e., α 1 ∼ U (0, 30) and β 1 ∼ U (0, 20). For cases with multiple potential infectors, the possible links v(i) missing are assigned equal prior probabilities. The missing links are updated using an independence sampler, whereas Θ 1 is updated using a random-walk Metropolis-Hastings algorithm with a uniform proposal distribution [12] .
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